Overmind开源智能体训练平台
Overmind开源了用智能体实际工作记录训练小模型的平台，错误率比前沿模型低28倍。
Overmind开源了其智能体训练平台，使用智能体实际工作记录构建训练数据。在4,000多个合同问题的测试中，其训练模型编造答案的比例为0.12%，而前沿模型为3.36%，降低了28倍。该平台针对特定任务微调开源模型，用户可保留训练模型权重并自行运行平台。
Overmind has open-sourced its platform for training smaller models on the work your agents actually do.
In its own test of 4,000+ questions across 100+ contracts, Overmind reports that its trained model invented quotes on 0.12% of questions, compared with 3.36% for the frontier model it tested. That's a 28x lower rate.
It uses records of your agents' real work to build training data and evals, then fine-tunes open models. For an agent pulling clauses out of contracts all day, training a model for that specific job makes sense.
I'm a big fan of open source, so its cool that they released the code. You keep the trained model's weights and can run the platform yourself.
Code: https://t.co/yPmxdvG4AS
